Variation Mechanism of Three-Dimensional Force and Force-Based Defect Detection in Friction Stir Welding of Aluminum Alloys

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Process Monitoring in Friction Stir Welding Using Convolutional Neural Networks

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Detection of tunnel defects in friction stir welded aluminum alloy joints based on the in-situ force signal

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Real time monitoring and control of friction stir welding process using multiple sensors

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Understanding process force transients with application towards defect detection during friction stir welding of aluminum alloys

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Multi sensor based strategies for accurate prediction of friction stir welding of polycarbonate sheets

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Real-time monitoring and control of porosity defects during arc welding of aluminum alloys

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Recent progress on control strategies for inherent issues in friction stir welding

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Analysis of different RNN autoencoder variants for time series classification and machine prognostics

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Probing defects in friction stir welding process using temperature profile

(2019) B Das et al.   SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES

Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis

(2019) Jimeng Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

EMD- PNN based welding defects detection using laser-induced plasma electrical signals

(2019) Yiming Huang et al.   Journal of Manufacturing Processes

Friction stir welding of high-strength aerospace aluminum alloy and application in rocket tank manufacturing

(2018) Guoqing Wang et al.   JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY

Weld defect identification in friction stir welding through optimized wavelet transformation of signals and validation through X-ray micro-CT scan

(2018) Rohan Basu Roy et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0

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EMD-based pulsed TIG welding process porosity defect detection and defect diagnosis using GA-SVM

(2017) Yiming Huang et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Physics-based process model approach for detecting discontinuity during friction stir welding

(2015) Amber Shrivastava et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Acoustic emission–based monitoring approach for friction stir welding of aluminum alloy AA6063-T6 with different tool pin profiles

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The use of neural network and discrete Fourier transform for real-time evaluation of friction stir welding

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